Certona, a leading provider of real-time omnichannel personalization for the many of the largest brands and retailers, today announced that the United States (US) Patent Office has issued the company a patent for representing and predicting human behavior.

Microsoft Research, the research arm of the software giant, is a hotbed of data science and machine learning research. Microsoft has the resources to hire the best and brightest researchers from around the globe. A recent publication is available for download (PDF): “Deep Learning: Methods and Applications” by Li Deng and Dong Yu, two prominent researchers in the field.

Big Data will change the way your organization responds to business opportunities. But to reap its full benefits, you have to move from proof of concept into full production. Here is an informative, 52-minute presentation that provides the guidelines for successfully integrating Hadoop into your standard data center processes.

Jeremy Howard made a presentation to the Melbourne R meetup group, where he gave a brief overview of his “data scientist’s toolbox” (using a few Kaggle competitions as practical examples), and also provided an introduction to ensembles of decision trees (including the well-known Random Forest™ algorithm).

It’s been more than 250 years since the appearance of Bayes theorem (named after English statistician, philosopher and Presbyterian minister Thomas Bayes: 1701-1761), one of the two fundamental inferential principles of mathematical statistics.

We sat down with Cristian Borcea, PhD from the New Jersey Institute of Technology to discuss the IoT and Big Data applications. “New machine learning techniques could help us extract knowledge from these data – this happens especially for knowledge that we don’t expect and we don’t even know exists – we cannot search for something that we don’t know exists.”

San Francisco based Zipfian Academy approaches data science education the way some approach learning a new language – total immersion. The company offers a 12-week intensive advanced data science training program in a modern lab environment.

I’ve been monitoring a curious and lively discussion over on LinkedIn – “Is it necessary to have a Masters Degree to become a data scientist?” The comments I’ve seen have exhibited a number of points of view on the matter that I think are reflective of the questions on many people’s minds – both those wanting to become a data scientist and those wanting to hire a data scientist.

I recently got an e-mail with the salutation “Hi Data Scientist.” Pretty smart e-mail marketing campaign because, lo-and-behold, I am a data scientist and I actually was interested in the e-mail! It was from a company called DataCamp which I learned later used to be DataMind. I knew them from their R-Fiddle tool for learning R online.

Industry Perspectives

In this special guest feature, Shahbaz Ali of Tarmin takes a look at the commoditization of data and how aggregated data has evolved to the extent of being so crucial and proprietary that its value is unparalleled and irreplaceable to the organization. [Read More…]